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Resilient future energy systems: smart grids, vehicle-to-grid, and microgrids

  • Alexander Domyshev
  • , Ulf Häger
  • , Daniil Panasetsky
  • , Denis Sidorov
  • , Pantelis Sopasakis
  • Melent'ev Institute of Power Engineering Systems
  • TU Dortmund University
  • Irkutsk National Research Technical University
  • Queen's University Belfast

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Future urban energy systems planning, incorporates various interconnected components including smart grids, electric vehicles, renewable energy sources, heating, and cooling systems. This chapter is the brief introduction to the data-driven energy system with special focus on methods and algorithms for hedging against the ever-increasing uncertainty that surrounds their operation. Special attention is paid to operation control, stochastic optimization, and introduction of the digital twins to achieve higher resilience in future energy systems of smart cities.

Original languageEnglish
Title of host publicationSolving Urban Infrastructure Problems Using Smart City Technologies
Subtitle of host publicationHandbook on Planning, Design, Development, and Regulation
PublisherElsevier
Pages571-597
Number of pages27
ISBN (Electronic)9780128168165
ISBN (Print)9780128168172
DOIs
StatePublished - 1 Jan 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Energy management, smart grids, resilient future energy systems, vehicle-to-grid, microgrids, model predictive control, optimization

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